tee() splits a stream into two branches. It seems straightforward, but the implementation requires buffering: if one branch is read faster than the other, the data must be held somewhere until the slower branch catches up.
The article is becoming slowly more understandable. At this point the following words stand out as islands among english we already know. Were you able to guess any from context?
另外，在一些用户生成的视频中可以观察到，即使是Seedance 2.0，在视频后半段也可能出现细微的“纹理漂移”或“闪烁”现象，尤其是在精细的图案、文字或背景元素上。，详情可参考夫子
63-летняя Деми Мур вышла в свет с неожиданной стрижкой17:54
，这一点在91视频中也有详细论述
最高法院的先例，以及去年11月開庭時許多大法官的態度，都顯示總統很可能面臨不利結果。，这一点在heLLoword翻译官方下载中也有详细论述
The problem gets worse in pipelines. When you chain multiple transforms – say, parse, transform, then serialize – each TransformStream has its own internal readable and writable buffers. If implementers follow the spec strictly, data cascades through these buffers in a push-oriented fashion: the source pushes to transform A, which pushes to transform B, which pushes to transform C, each accumulating data in intermediate buffers before the final consumer has even started pulling. With three transforms, you can have six internal buffers filling up simultaneously.